

AI
for Scientific Progress Workshop
September 30, 2016 - October 2, 2016
AI for Scientific Progress: Bringing Digital Control to Physical Matter
This 2-1/2 day, fast-paced interactive workshop in Silicon Valley is targeted at generating new insights, new projects, and new funding for the goal of applying advanced computer science to the challenges of atomic precision.
A multidisciplinary group of specialists in artificial intelligence—broadly defined—will collaborate with those tackling the challenges of constructing atomically-precise 3D structures, including pathways using chemistry, applied physics, biochemistry, molecular biology, and engineering.
Areas to be addressed include complex structures built via organic and inorganic synthesis; objects and devices constructed from DNA, RNA, proteins, or biomimetic polymers; construction via scanning probe; and other approaches to building with increasing precision from the bottom up.
The workshop white paper can be accessed here.
Confirmed Participants
Dion Whitehead Amago, Autodesk Research, Bio/Nano/Programmable Matter
Lauren Barghout, BurningEyedeas, UC. Berkeley Institute for Soft Computing
Jeremy Barton, Nanofactory Corporation
Angela Morente Cheng, ExO Works
Paul Cherukuri, Institute of Biosciences and Bioengineering, Rice Univ.
John Denning, Universal Medical Services & Health Management Co.
Martin Edelstein, Covalent / AguaVia
Yad Faeq, 4th n Town Machine Learning R&D
Rob Freitas, Co-Founder/COO of Nanofactory Corporation
Steve Fowkes, Nanopolymer Systems
Franz J. Giessibl, Universität Regensburg, Institute of Expt. and Applied Physics
Don Gilmore, Software Architect
James Gimzewski, UCLA, Dept. of Chemistry and Biochemistry
Dan Girshovich, Zee.Aero, The Embassy Network
William A Goddard, III, Caltech, Dept. of Chemistry, Materials Science, and Applied Physics
Ben Goertzel, Hanson Robotics, Aidyia Limited, AGI Society and OpenCog Foundation
Bartosz A. Grzybowski, Ulsan National Institute of Science and Technology, S. Korea
Si-Ping Han, Caltech, Dept. of Chemistry
Cosmo Harrigan, ChannelAgility
Sergei V. Kalinin, Oak Ridge National Lab, Center for Nanophase Materials Sciences
Kent Kemmish, Stealth Biotech
Rick Lewis, GlaxoSmithKlein
James Lewis, Foresight Institute
Ruiting Lian, Computational Linguistics, Xiamen University, China
Moshe Looks, Google, Machine Intelligence
Joseph W. Lyding, UIUC, Dept. of Electrical and Computer Engineering
Ralph Merkle, Co-founder/President of Nanofactory Corporation
Neal McBurnett, Data Science
Farhan Malik, Architecture of Things
Nicola Marzari, École Polytechnique Fédérale de Lausanne; MIT
Conrad Pfeiffer, Temple University, Dept. of Chemistry
Bogdana Rakova, Samsung Research America
Patrick Riley, Google, Machine Intelligence
Natalia Díaz Rodríguez, Data Science
Bruce Smith, Software Developer
Mikhail Soutchanski, Ryerson University, Dept. of Computer Science
Reto Stamm, Two Pore Guys, Inc.
Deepak Srivastava, Taechyon Robotics Inc.
Sara Szymkuc, DARPA Make-It program at GSI, Ltd
E. Dean Tribble, Synchrona, LLC
Aaron Virshup, Autodesk, Bio/Nano Group Scientist
Anatole von Lilienfeld, University of Basel, Dept. of Chemistry
Peter Voss, AGI Innovations Inc.
Zhiyong Zhang, Stanford University, Dept. of Computational Science